A Quote by Aaron Koblin

There's something that happens with the collection of a large amount of data when it's dumped into an Excel spreadsheet or put into a pie chart. You run the risk of completely missing what it's about.
There is no data that can be displayed in a pie chart, that cannot be displayed BETTER in some other type of chart.
When you have a large amount of data that is labeled so a computer knows what it means, and you have a large amount of computing power, and you're trying to find patterns in that data, we've found that deep learning is unbeatable.
As we move into an era in which personal devices are seen as proxies for public needs, we run the risk that already-existing inequities will be further entrenched. Thus, with every big data set, we need to ask which people are excluded. Which places are less visible? What happens if you live in the shadow of big data sets?
I feel like there's so many places to shop today that just feel like an Excel spreadsheet put between four walls.
This is a pie chart about procrastination.
Put your goals on paper, or an Excel spreadsheet. Measure every day, 'Did I do my best to...?' Your problems won't disappear, but you will exist in a different relation to them, and you will improve.
Scientific data are not taken for museum purposes; they are taken as a basis for doing something. If nothing is to be done with the data, then there is no use in collecting any. The ultimate purpose of taking data is to provide a basis for action or a recommendation for action. The step intermediate between the collection of data and the action is prediction.
Knowledge about limitations of your data collection process affects what inferences you can draw from the data.
If we are too friendly to nice, decent bishops, we run the risk of buying into the fiction that there's something virtuous about believing things because of faith rather than because of evidence. We run the risk of betraying scientific enlightenment.
Being in the public eye, with the Internet - it's scary. You can put out too much, and it becomes a part of the pie chart of who you are. Things stick. And they never go away.
I am a data hound and so I usually end up working on whatever things I can find good data on. The rise of Internet commerce completely altered the amount of information you could gather on company behavior so I naturally drifted toward it.
I don't think bulk data collection was an enormous factor here, because generally, that deals with overseas calls to the United States. But what bulk data collection did was make the process more efficient. So there were no silver bullets there.
When I'm writing books, something weird happens; and the result is the books contain a large amount of what you could call 'supernaturalism.' As a writer, I find I need that to explain the world I'm writing about.
Any enterprise CEO really ought to be able to ask a question that involves connecting data across the organization, be able to run a company effectively, and especially to be able to respond to unexpected events. Most organizations are missing this ability to connect all the data together.
The USA Freedom Act does not propose that we abandon any and all efforts to analyze telephone data, what we're talking about here is a program that currently contemplates the collection of all data just as a routine matter and the aggregation of all that data in one database. That causes concerns for a lot of people... There's a lot of potential for abuse.
Well you know, it's true that as a fat person I run a greater risk of heart disease, diabetes, and a number of other things. But guess what? The amount of that risk is almost infinitessimal!
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